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Liège. Your tasks in detail: Develop an event-driven learning algorithm for latent reasoning that sparsely updates network state and parameters in complex reasoning scenarios. Explore hardware
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AI-based Digital Pathology (AiDP) Programme. The programme focuses on the development and validation of advanced AI methodologies, including image processing, computer vision, and mathematical
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, interdisciplinary research environment with strong focus on mentoring and career development. Starting date upon individual agreement and preferably no later than 1st of April 2027. The fellowship period is three
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our team in translational X-ray imaging and contribute to the development of X-ray imaging technology that can significantly improve the treatment and outcome of oncological patients. Project
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as healthcare, cyber-physical systems, and foundation models, including large language models. Depending on the candidate’s interests and background, the project can focus on algorithm design
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development of models and algorithms for simulation and optimization of decentralized, integrated energy systems. Such systems are characterized by high shares of renewable energies and increasing
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MATOPIBA; Translate stakeholders’ preferences in terms of ‘productive agriculture’ and ‘healthy biodiversity’ into quantifiable impact indicators; Develop a spatial optimization algorithm that finds
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several of these highly topical research projects and the societal transformation that follows with the development of AI-powered smart care solutions. The position is at the Department of Computer
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optimization Experience with large-scale algorithm design and implementation Knowledge of decision making under uncertainty Ideally, some exposure to machine learning methods A passion for research
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receiver architectures that enable power-efficient signaling at the maximum allowable spectral efficiency. The project will cover both algorithm development and experimental implementation. We offer an